In a new paper, a group of researchers from Zhejiang University, The Chinese University of Hong Kong and Cornell University propose an implicit neural representation method called Neural Body. The novel approach tackles dynamic 3D human-body synthesis from a sparse set of camera views, bettering existing methods on key metrics by significant margins.
Here is a quick read: ‘Neural Body’ Reconstructs Dynamic Human Bodies From Sparse Camera Views
The paper Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans is on arXiv. The code and dataset will soon be available on the project GitHub.